The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at dhivyaravindran@gmail.com.
Numbers as on EOD
## [1] "2020-10-17"
Overall Confirmed Cases Count Worldwide
## [1] "39670680 (up from 39329140 yesterday: 0.87 % increase)"
Overall Deaths Worldwide
Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] "1109833 (up from 1104354 yesterday: 0.5 % increase)"
Overall Confirmed Cases Count Worldwide in the past 21 Days
## [1] 6827926
Overall Fatality Rate Worldwide in %
Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 2.8
Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)
| Country_Region | TotalConfirmed | NewConfirmations | CasesPercentIncrease | TotalConfirmedinPast21Days | TotalDeaths | NewDeaths | DeathsPercentIncrease | FatalityRate |
|---|---|---|---|---|---|---|---|---|
| US | 8106384 | 57519 | 0.71 | 1028295 | 219286 | 711 | 0.33 | 2.71 |
| India | 7494551 | 61871 | 0.83 | 1502019 | 114031 | 1033 | 0.91 | 1.52 |
| Brazil | 5224362 | 24062 | 0.46 | 506371 | 153675 | 461 | 0.30 | 2.94 |
| Russia | 1376020 | 14703 | 1.08 | 237511 | 23857 | 277 | 1.17 | 1.73 |
| Argentina | 979119 | 13510 | 1.40 | 276635 | 26107 | 384 | 1.49 | 2.67 |
| Colombia | 952371 | 7017 | 0.74 | 146333 | 28803 | 187 | 0.65 | 3.02 |
| Spain | 936560 | 0 | 0.00 | 220079 | 33775 | 0 | 0.00 | 3.61 |
| France | 876342 | 0 | 0.00 | 323888 | 33325 | 0 | 0.00 | 3.80 |
| Peru | 862417 | 2677 | 0.31 | 67833 | 33648 | 71 | 0.21 | 3.90 |
| Mexico | 847108 | 5447 | 0.65 | 120677 | 86059 | 355 | 0.41 | 10.16 |
| United Kingdom | 708298 | 16186 | 2.34 | 276481 | 43669 | 150 | 0.34 | 6.17 |
| South Africa | 702131 | 1928 | 0.28 | 32633 | 18408 | 38 | 0.21 | 2.62 |
| Iran | 526490 | 4103 | 0.79 | 83404 | 30123 | 253 | 0.85 | 5.72 |
| Chile | 490003 | 1813 | 0.37 | 34024 | 13588 | 59 | 0.44 | 2.77 |
| Iraq | 423524 | 3221 | 0.77 | 77555 | 10198 | 56 | 0.55 | 2.41 |
| Italy | 402536 | 10925 | 2.79 | 94432 | 36474 | 47 | 0.13 | 9.06 |
| Bangladesh | 387295 | 1209 | 0.31 | 29422 | 5646 | 23 | 0.41 | 1.46 |
| Germany | 364664 | 4862 | 1.35 | 79638 | 9785 | 12 | 0.12 | 2.68 |
| Indonesia | 357762 | 4301 | 1.22 | 86423 | 12431 | 84 | 0.68 | 3.47 |
| Philippines | 354338 | 2588 | 0.74 | 53082 | 6603 | 72 | 1.10 | 1.86 |
| Turkey | 345678 | 1723 | 0.50 | 32712 | 9224 | 71 | 0.78 | 2.67 |
| Saudi Arabia | 341854 | 359 | 0.11 | 9064 | 5165 | 21 | 0.41 | 1.51 |
| Pakistan | 323019 | 567 | 0.18 | 12744 | 6654 | 16 | 0.24 | 2.06 |
| Israel | 302770 | 874 | 0.29 | 75670 | 2190 | 49 | 2.29 | 0.72 |
| Ukraine | 301856 | 6629 | 2.25 | 101290 | 5669 | 118 | 2.13 | 1.88 |
| Netherlands | 225970 | 8149 | 3.74 | 112452 | 6797 | 32 | 0.47 | 3.01 |
| Belgium | 213115 | 10964 | 5.42 | 100312 | 10392 | 33 | 0.32 | 4.88 |
| Canada | 197067 | 139 | 0.07 | 43297 | 9782 | 1 | 0.01 | 4.96 |
| Romania | 176468 | 3952 | 2.29 | 55233 | 5812 | 63 | 1.10 | 3.29 |
| Morocco | 170911 | 3763 | 2.25 | 55670 | 2878 | 60 | 2.13 | 1.68 |
| Czechia | 168827 | 8715 | 5.44 | 105533 | 1352 | 69 | 5.38 | 0.80 |
| Poland | 167230 | 9622 | 6.11 | 81250 | 3524 | 84 | 2.44 | 2.11 |
| Ecuador | 152422 | 763 | 0.50 | 18441 | 12375 | 18 | 0.15 | 8.12 |
| Bolivia | 139710 | 148 | 0.11 | 6118 | 8463 | 24 | 0.28 | 6.06 |
| Nepal | 129304 | 3167 | 2.51 | 57483 | 727 | 12 | 1.68 | 0.56 |
| Qatar | 129227 | 235 | 0.18 | 4377 | 223 | 1 | 0.45 | 0.17 |
| Panama | 124107 | 609 | 0.49 | 13999 | 2557 | 11 | 0.43 | 2.06 |
| Dominican Republic | 120925 | 475 | 0.39 | 9968 | 2195 | 3 | 0.14 | 1.82 |
| Kuwait | 115483 | 739 | 0.64 | 12284 | 694 | 4 | 0.58 | 0.60 |
| United Arab Emirates | 114387 | 1538 | 1.36 | 23769 | 459 | 4 | 0.88 | 0.40 |
| Kazakhstan | 109406 | 104 | 0.10 | 1683 | 1768 | 0 | 0.00 | 1.62 |
| Oman | 108296 | 0 | 0.00 | 12389 | 1071 | 0 | 0.00 | 0.99 |
| Egypt | 105297 | 138 | 0.13 | 2561 | 6109 | 10 | 0.16 | 5.80 |
| Sweden | 103200 | 0 | 0.00 | 12277 | 5918 | 0 | 0.00 | 5.73 |
| Guatemala | 101028 | 597 | 0.59 | 11326 | 3515 | 37 | 1.06 | 3.48 |
| Portugal | 98055 | 2153 | 2.25 | 25116 | 2162 | 13 | 0.60 | 2.20 |
| Costa Rica | 95514 | 1166 | 1.24 | 23465 | 1183 | 15 | 1.28 | 1.24 |
| Japan | 92670 | 626 | 0.68 | 10967 | 1670 | 6 | 0.36 | 1.80 |
| China | 90955 | 30 | 0.03 | 499 | 4739 | 0 | 0.00 | 5.21 |
| Ethiopia | 88434 | 600 | 0.68 | 15734 | 1346 | 9 | 0.67 | 1.52 |
| Honduras | 87594 | 903 | 1.04 | 13046 | 2563 | 7 | 0.27 | 2.93 |
| Belarus | 87063 | 671 | 0.78 | 9774 | 925 | 4 | 0.43 | 1.06 |
| Venezuela | 86289 | 531 | 0.62 | 14349 | 731 | 6 | 0.83 | 0.85 |
| Bahrain | 77571 | 246 | 0.32 | 8796 | 293 | 1 | 0.34 | 0.38 |
| Switzerland | 74422 | 0 | 0.00 | 22558 | 2122 | 0 | 0.00 | 2.85 |
| Moldova | 66652 | 792 | 1.20 | 16118 | 1569 | 20 | 1.29 | 2.35 |
| Austria | 63134 | 1747 | 2.85 | 20920 | 889 | 7 | 0.79 | 1.41 |
| Armenia | 63000 | 1540 | 2.51 | 13928 | 1067 | 11 | 1.04 | 1.69 |
| Uzbekistan | 62809 | 221 | 0.35 | 7990 | 522 | 2 | 0.38 | 0.83 |
| Nigeria | 61307 | 113 | 0.18 | 3109 | 1123 | 4 | 0.36 | 1.83 |
| Lebanon | 61284 | 1171 | 1.95 | 26042 | 517 | 8 | 1.57 | 0.84 |
| Singapore | 57904 | 3 | 0.01 | 219 | 28 | 0 | 0.00 | 0.05 |
| Algeria | 54203 | 205 | 0.38 | 3289 | 1846 | 5 | 0.27 | 3.41 |
| Paraguay | 54015 | 533 | 1.00 | 16093 | 1179 | 14 | 1.20 | 2.18 |
| Kyrgyzstan | 51490 | 470 | 0.92 | 5400 | 1108 | 5 | 0.45 | 2.15 |
| Ireland | 48678 | 1251 | 2.64 | 14118 | 1849 | 8 | 0.43 | 3.80 |
| Libya | 47845 | 0 | 0.00 | 16017 | 699 | 0 | 0.00 | 1.46 |
| Ghana | 47232 | 59 | 0.13 | 1010 | 310 | 0 | 0.00 | 0.66 |
| West Bank and Gaza | 46746 | 312 | 0.67 | 8493 | 402 | 0 | 0.00 | 0.86 |
| Hungary | 44816 | 1791 | 4.16 | 21739 | 1109 | 24 | 2.21 | 2.47 |
| Azerbaijan | 44317 | 528 | 1.21 | 4422 | 623 | 2 | 0.32 | 1.41 |
| Kenya | 44196 | 616 | 1.41 | 6325 | 825 | 12 | 1.48 | 1.87 |
| Tunisia | 40542 | 5752 | 16.53 | 26150 | 626 | 114 | 22.27 | 1.54 |
| Afghanistan | 40141 | 68 | 0.17 | 949 | 1488 | 3 | 0.20 | 3.71 |
| Jordan | 36053 | 1505 | 4.36 | 27992 | 330 | 20 | 6.45 | 0.92 |
| Serbia | 35946 | 227 | 0.64 | 2634 | 774 | 2 | 0.26 | 2.15 |
| Denmark | 35440 | 501 | 1.43 | 8753 | 679 | 2 | 0.30 | 1.92 |
| Burma | 34875 | 1387 | 4.14 | 24884 | 838 | 39 | 4.88 | 2.40 |
| Bosnia and Herzegovina | 33561 | 716 | 2.18 | 6764 | 981 | 1 | 0.10 | 2.92 |
| El Salvador | 31456 | 191 | 0.61 | 3041 | 917 | 5 | 0.55 | 2.92 |
| Bulgaria | 29108 | 603 | 2.12 | 9111 | 968 | 10 | 1.04 | 3.33 |
| Slovakia | 28268 | 1968 | 7.48 | 19668 | 82 | 11 | 15.49 | 0.29 |
| Australia | 27390 | 12 | 0.04 | 350 | 904 | 0 | 0.00 | 3.30 |
| Korea, South | 25199 | 91 | 0.36 | 1588 | 444 | 1 | 0.23 | 1.76 |
| Greece | 24932 | 482 | 1.97 | 7704 | 500 | 10 | 2.04 | 2.01 |
| Croatia | 24761 | 1096 | 4.63 | 8754 | 355 | 10 | 2.90 | 1.43 |
| North Macedonia | 23201 | 594 | 2.63 | 5718 | 824 | 3 | 0.37 | 3.55 |
| Cameroon | 21441 | 0 | 0.00 | 706 | 423 | 0 | 0.00 | 1.97 |
| Cote d’Ivoire | 20301 | 26 | 0.13 | 701 | 121 | 0 | 0.00 | 0.60 |
| Malaysia | 19627 | 869 | 4.63 | 8858 | 180 | 4 | 2.27 | 0.92 |
| Madagascar | 16810 | 56 | 0.33 | 553 | 238 | 1 | 0.42 | 1.42 |
| Albania | 16774 | 273 | 1.65 | 3621 | 448 | 5 | 1.13 | 2.67 |
| Kosovo | 16606 | 0 | 0.00 | 1181 | 652 | 0 | 0.00 | 3.93 |
| Norway | 16369 | 97 | 0.60 | 2742 | 278 | 0 | 0.00 | 1.70 |
| Georgia | 16285 | 958 | 6.25 | 11325 | 128 | 4 | 3.23 | 0.79 |
| Zambia | 15789 | 130 | 0.83 | 1177 | 346 | 0 | 0.00 | 2.19 |
| Montenegro | 15427 | 146 | 0.96 | 5230 | 231 | 3 | 1.32 | 1.50 |
| Senegal | 15392 | 24 | 0.16 | 523 | 317 | 0 | 0.00 | 2.06 |
| Sudan | 13691 | 0 | 0.00 | 85 | 836 | 0 | 0.00 | 6.11 |
| Finland | 13293 | 160 | 1.22 | 3716 | 351 | 0 | 0.00 | 2.64 |
| Slovenia | 12416 | 899 | 7.81 | 7225 | 184 | 4 | 2.22 | 1.48 |
| Namibia | 12263 | 48 | 0.39 | 1345 | 131 | 0 | 0.00 | 1.07 |
| Guinea | 11478 | 116 | 1.02 | 966 | 70 | 0 | 0.00 | 0.61 |
| Maldives | 11178 | 24 | 0.22 | 1133 | 36 | 1 | 2.86 | 0.32 |
| Congo (Kinshasa) | 11000 | 1 | 0.01 | 407 | 302 | 1 | 0.33 | 2.75 |
| Mozambique | 10707 | 95 | 0.90 | 2950 | 74 | 1 | 1.37 | 0.69 |
| Luxembourg | 10471 | 0 | 0.00 | 2238 | 133 | 0 | 0.00 | 1.27 |
| Tajikistan | 10455 | 41 | 0.39 | 850 | 80 | 0 | 0.00 | 0.77 |
| Uganda | 10455 | 121 | 1.17 | 3091 | 96 | 0 | 0.00 | 0.92 |
Confirmed Cases and Deaths- States of USA (With Fatality Rates)
| State | Confirmed | NewConfirmations | CasesPercentIncrease | TotalConfirmedinPast21Days | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate | ConfirmedCasesPerMillPopl | DeathsPerMillPopl | InfectionOdds |
|---|---|---|---|---|---|---|---|---|---|---|---|
| California | 873614 | 2361 | 0.27 | 66163 | 16956 | 46 | 0.27 | 1.94 | 22109.97 | 429.13 | 1 in 45 |
| Texas | 848442 | 4955 | 0.59 | 94131 | 17440 | 65 | 0.37 | 2.06 | 29260.78 | 601.46 | 1 in 34 |
| Florida | 752481 | 4044 | 0.54 | 53799 | 15917 | 87 | 0.55 | 2.12 | 35035.40 | 741.09 | 1 in 29 |
| New York | 482891 | 1784 | 0.37 | 28131 | 33347 | 10 | 0.03 | 6.91 | 24822.76 | 1714.18 | 1 in 40 |
| Illinois | 343386 | 3629 | 1.07 | 54613 | 9452 | 27 | 0.29 | 2.75 | 27098.39 | 745.91 | 1 in 37 |
| Georgia | 339384 | 1534 | 0.45 | 25511 | 7607 | 51 | 0.67 | 2.24 | 31964.82 | 716.46 | 1 in 31 |
| North Carolina | 243725 | 2102 | 0.87 | 37665 | 3929 | 19 | 0.49 | 1.61 | 23238.28 | 374.62 | 1 in 43 |
| Arizona | 230459 | 973 | 0.42 | 13633 | 5824 | 18 | 0.31 | 2.53 | 30264.25 | 764.82 | 1 in 33 |
| Tennessee | 226139 | 2646 | 1.18 | 35248 | 2903 | 32 | 1.11 | 1.28 | 33094.28 | 424.84 | 1 in 30 |
| New Jersey | 218738 | 934 | 0.43 | 15888 | 16204 | 2 | 0.01 | 7.41 | 24626.58 | 1824.32 | 1 in 41 |
| Pennsylvania | 185668 | 1503 | 0.82 | 25735 | 8442 | 8 | 0.09 | 4.55 | 14503.06 | 659.43 | 1 in 69 |
| Ohio | 180225 | 2234 | 1.26 | 30216 | 5067 | 13 | 0.26 | 2.81 | 15418.21 | 433.48 | 1 in 65 |
| Louisiana | 174638 | 0 | 0.00 | 10710 | 5727 | 0 | 0.00 | 3.28 | 37566.30 | 1231.93 | 1 in 27 |
| Alabama | 171662 | 1288 | 0.76 | 20071 | 2788 | 2 | 0.07 | 1.62 | 35010.30 | 568.61 | 1 in 29 |
| Wisconsin | 166186 | 0 | 0.00 | 52541 | 1574 | 0 | 0.00 | 0.95 | 28542.36 | 270.33 | 1 in 35 |
| Virginia | 164795 | 1085 | 0.66 | 19528 | 3419 | 14 | 0.41 | 2.07 | 19306.97 | 400.56 | 1 in 52 |
| South Carolina | 163214 | 961 | 0.59 | 17941 | 3637 | 22 | 0.61 | 2.23 | 31699.95 | 706.39 | 1 in 32 |
| Michigan | 161105 | 1986 | 1.25 | 26732 | 7340 | 23 | 0.31 | 4.56 | 16131.70 | 734.97 | 1 in 62 |
| Missouri | 157108 | 2185 | 1.41 | 33602 | 2581 | 104 | 4.20 | 1.64 | 25598.35 | 420.53 | 1 in 39 |
| Indiana | 145977 | 2482 | 1.73 | 29428 | 3918 | 31 | 0.80 | 2.68 | 21683.34 | 581.98 | 1 in 46 |
| Massachusetts | 142930 | 584 | 0.41 | 12880 | 9723 | 21 | 0.22 | 6.80 | 20566.94 | 1399.09 | 1 in 49 |
| Maryland | 135127 | 798 | 0.59 | 12155 | 4036 | 4 | 0.10 | 2.99 | 22351.00 | 667.58 | 1 in 45 |
| Minnesota | 121090 | 1694 | 1.42 | 25431 | 2270 | 5 | 0.22 | 1.87 | 21471.26 | 402.51 | 1 in 47 |
| Mississippi | 110006 | 751 | 0.69 | 13329 | 3171 | 11 | 0.35 | 2.88 | 36962.53 | 1065.47 | 1 in 27 |
| Iowa | 106698 | 952 | 0.90 | 20790 | 1528 | 4 | 0.26 | 1.43 | 33817.95 | 484.30 | 1 in 30 |
| Oklahoma | 106468 | 1160 | 1.10 | 22958 | 1162 | 8 | 0.69 | 1.09 | 26906.44 | 293.66 | 1 in 37 |
| Arkansas | 98422 | 883 | 0.91 | 17667 | 1684 | 19 | 1.14 | 1.71 | 32613.55 | 558.02 | 1 in 31 |
| Washington | 97671 | 777 | 0.80 | 11841 | 2239 | 0 | 0.00 | 2.29 | 12826.31 | 294.03 | 1 in 78 |
| Utah | 93297 | 1340 | 1.46 | 23750 | 540 | 3 | 0.56 | 0.58 | 29101.13 | 168.44 | 1 in 34 |
| Nevada | 89652 | 967 | 1.09 | 11297 | 1707 | 0 | 0.00 | 1.90 | 29106.32 | 554.19 | 1 in 34 |
| Kentucky | 86797 | 1291 | 1.51 | 20761 | 1312 | 12 | 0.92 | 1.51 | 19427.79 | 293.67 | 1 in 51 |
| Colorado | 84346 | 1139 | 1.37 | 15857 | 2176 | 4 | 0.18 | 2.58 | 14646.62 | 377.86 | 1 in 68 |
| Kansas | 70023 | 473 | 0.68 | 13370 | 859 | 2 | 0.23 | 1.23 | 24035.51 | 294.85 | 1 in 42 |
| Connecticut | 62830 | 0 | 0.00 | 6243 | 4542 | 0 | 0.00 | 7.23 | 17622.70 | 1273.95 | 1 in 57 |
| Nebraska | 57332 | 618 | 1.09 | 13736 | 547 | 0 | 0.00 | 0.95 | 29638.01 | 282.77 | 1 in 34 |
| Puerto Rico | 56650 | 238 | 0.42 | 11237 | 761 | 3 | 0.40 | 1.34 | 17738.08 | 238.28 | 1 in 56 |
| Idaho | 52582 | 878 | 1.70 | 12286 | 529 | 6 | 1.15 | 1.01 | 29341.57 | 295.19 | 1 in 34 |
| Oregon | 39315 | 380 | 0.98 | 6734 | 619 | 2 | 0.32 | 1.57 | 9321.35 | 146.76 | 1 in 107 |
| New Mexico | 36343 | 573 | 1.60 | 7651 | 929 | 1 | 0.11 | 2.56 | 17332.36 | 443.05 | 1 in 58 |
| South Dakota | 32611 | 806 | 2.53 | 11478 | 315 | 8 | 2.61 | 0.97 | 36862.79 | 356.07 | 1 in 27 |
| North Dakota | 31261 | 744 | 2.44 | 10881 | 399 | 11 | 2.84 | 1.28 | 41021.60 | 523.58 | 1 in 24 |
| Rhode Island | 27691 | 0 | 0.00 | 3510 | 1152 | 0 | 0.00 | 4.16 | 26139.34 | 1087.45 | 1 in 38 |
| Delaware | 22942 | 218 | 0.96 | 2786 | 664 | 2 | 0.30 | 2.89 | 23560.12 | 681.89 | 1 in 42 |
| Montana | 22225 | 630 | 2.92 | 10318 | 239 | 4 | 1.70 | 1.08 | 20794.78 | 223.62 | 1 in 48 |
| West Virginia | 19805 | 219 | 1.12 | 4638 | 401 | 3 | 0.75 | 2.02 | 11081.91 | 224.38 | 1 in 90 |
| District of Columbia | 16334 | 79 | 0.49 | 1119 | 641 | 0 | 0.00 | 3.92 | 23144.21 | 908.25 | 1 in 43 |
| Hawaii | 13949 | 96 | 0.69 | 1931 | 186 | 1 | 0.54 | 1.33 | 9851.88 | 131.37 | 1 in 102 |
| Alaska | 10760 | 211 | 2.00 | 3393 | 67 | 1 | 1.52 | 0.62 | 14708.60 | 91.59 | 1 in 68 |
| New Hampshire | 9625 | 111 | 1.17 | 1504 | 466 | 1 | 0.22 | 4.84 | 7078.71 | 342.72 | 1 in 141 |
| Wyoming | 8816 | 151 | 1.74 | 3351 | 57 | 0 | 0.00 | 0.65 | 15232.59 | 98.49 | 1 in 66 |
| Maine | 5912 | 49 | 0.84 | 654 | 146 | 1 | 0.69 | 2.47 | 4398.12 | 108.61 | 1 in 227 |
| Vermont | 1926 | 11 | 0.57 | 187 | 58 | 0 | 0.00 | 3.01 | 3086.59 | 92.95 | 1 in 324 |
State Level Figures
| State | Tested | Confirmed | ConfirmationRate | TestedinPast21Days | ConfirmedinPast21Days | ConfirmationRateForPast21Days | TestsPerMillPopl | |
|---|---|---|---|---|---|---|---|---|
| 1 | California | 16756711 | 873614 | 5.21 | 2573981 | 66163 | 2.57 | 424089.3 |
| 2 | Texas | 7274236 | 848442 | 11.66 | 1279423 | 94131 | 7.36 | 250871.4 |
| 3 | Florida | 5704100 | 752481 | 13.19 | 469093 | 53799 | 11.47 | 265582.0 |
| 4 | New York | 12771403 | 482891 | 3.78 | 2347987 | 28131 | 1.20 | 656507.2 |
| 5 | Illinois | 6699844 | 343386 | 5.13 | 1268667 | 54613 | 4.30 | 528719.9 |
| 6 | Georgia | 3280668 | 339384 | 10.34 | 408313 | 25511 | 6.25 | 308989.1 |
| 7 | North Carolina | 3582572 | 243725 | 6.80 | 634769 | 37665 | 5.93 | 341585.0 |
| 8 | Arizona | 1620703 | 230459 | 14.22 | 186476 | 13633 | 7.31 | 212833.3 |
| 9 | Tennessee | 3305133 | 226139 | 6.84 | 515254 | 35248 | 6.84 | 483689.3 |
| 10 | New Jersey | 4135796 | 218738 | 5.29 | 623228 | 15888 | 2.55 | 465628.0 |
| 11 | Pennsylvania | 2300793 | 185668 | 8.07 | 315269 | 25735 | 8.16 | 179721.5 |
| 12 | Ohio | 3854399 | 180225 | 4.68 | 820412 | 30216 | 3.68 | 329743.0 |
| 13 | Louisiana | 2565652 | 174638 | 6.81 | 309587 | 10710 | 3.46 | 551896.3 |
| 14 | Alabama | 1248795 | 171662 | 13.75 | 143863 | 20071 | 13.95 | 254690.6 |
| 15 | Wisconsin | 1765796 | 166186 | 9.41 | 252153 | 52541 | 20.84 | 303274.5 |
| 16 | Virginia | 2366380 | 164795 | 6.96 | 373036 | 19528 | 5.23 | 277239.2 |
| 17 | South Carolina | 1585051 | 163214 | 10.30 | 342254 | 17941 | 5.24 | 307853.8 |
| 18 | Michigan | 4272743 | 161105 | 3.77 | 729686 | 26732 | 3.66 | 427836.6 |
| 19 | Missouri | 2266988 | 157108 | 6.93 | 977819 | 33602 | 3.44 | 369371.0 |
| 20 | Indiana | 2485506 | 145977 | 5.87 | 1135116 | 29428 | 2.59 | 369195.7 |
| 21 | Massachusetts | 5088797 | 142930 | 2.81 | 1308777 | 12880 | 0.98 | 732253.4 |
| 22 | Maryland | 3049634 | 135127 | 4.43 | 1465334 | 12155 | 0.83 | 504431.9 |
| 23 | Minnesota | 2458271 | 121090 | 4.93 | 503556 | 25431 | 5.05 | 435892.1 |
| 24 | Mississippi | 839550 | 110006 | 13.10 | 108837 | 13329 | 12.25 | 282092.7 |
| 25 | Iowa | 827884 | 106698 | 12.89 | 76986 | 20790 | 27.00 | 262398.0 |
| 26 | Oklahoma | 1434035 | 106468 | 7.42 | 275050 | 22958 | 8.35 | 362407.3 |
| 27 | Arkansas | 1207642 | 98422 | 8.15 | 273747 | 17667 | 6.45 | 400169.7 |
| 28 | Washington | 2194254 | 97671 | 4.45 | 393233 | 11841 | 3.01 | 288153.0 |
| 29 | Utah | 966451 | 93297 | 9.65 | 161372 | 23750 | 14.72 | 301454.7 |
| 30 | Nevada | 749756 | 89652 | 11.96 | 64078 | 11297 | 17.63 | 243414.9 |
| 31 | Kentucky | 1674648 | 86797 | 5.18 | 399960 | 20761 | 5.19 | 374836.7 |
| 32 | Colorado | 1646557 | 84346 | 5.12 | 368944 | 15857 | 4.30 | 285923.3 |
| 33 | Kansas | 589189 | 70023 | 11.88 | 86419 | 13370 | 15.47 | 202240.1 |
| 34 | Connecticut | 1967633 | 62830 | 3.19 | 448482 | 6243 | 1.39 | 551886.3 |
| 35 | Nebraska | 535347 | 57332 | 10.71 | 94702 | 13736 | 14.50 | 276749.8 |
| 37 | Idaho | 348518 | 52582 | 15.09 | 49866 | 12286 | 24.64 | 194478.4 |
| 38 | Oregon | 781643 | 39315 | 5.03 | 112972 | 6734 | 5.96 | 185322.8 |
| 39 | New Mexico | 1035851 | 36343 | 3.51 | 142362 | 7651 | 5.37 | 494008.3 |
| 40 | South Dakota | 229204 | 32611 | 14.23 | 43070 | 11478 | 26.65 | 259087.4 |
| 41 | North Dakota | 726187 | 31261 | 4.30 | 131559 | 10881 | 8.27 | 952923.8 |
| 42 | Rhode Island | 935623 | 27691 | 2.96 | 208154 | 3510 | 1.69 | 883195.6 |
| 43 | Delaware | 324469 | 22942 | 7.07 | 44070 | 2786 | 6.32 | 333211.1 |
| 44 | Montana | 428128 | 22225 | 5.19 | 98843 | 10318 | 10.44 | 400577.1 |
| 45 | West Virginia | 672361 | 19805 | 2.95 | 130070 | 4638 | 3.57 | 376220.3 |
| 46 | District of Columbia | 462968 | 16334 | 3.53 | 84989 | 1119 | 1.32 | 655995.3 |
| 47 | Hawaii | 469684 | 13949 | 2.97 | 179717 | 1931 | 1.07 | 331727.7 |
| 48 | Alaska | 530500 | 10760 | 2.03 | 87631 | 3393 | 3.87 | 725177.5 |
| 49 | New Hampshire | 523341 | 9625 | 1.84 | 100750 | 1504 | 1.49 | 384891.3 |
| 50 | Wyoming | 117570 | 8816 | 7.50 | 19699 | 3351 | 17.01 | 203141.5 |
| 51 | Maine | 533689 | 5912 | 1.11 | 127270 | 654 | 0.51 | 397027.4 |
| 52 | Vermont | 177333 | 1926 | 1.09 | 17057 | 187 | 1.10 | 284192.5 |
Confirmed Cases and Deaths (States of India)
| State | Confirmed | NewConfirmations | CasesPercentIncrease | Recovered | RecoveryRate | Active | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate |
|---|---|---|---|---|---|---|---|---|---|---|
| Maharashtra | 1595381 | 9060 | 0.57 | 1369810 | 85.86 | 182973 | 42115 | 150 | 0.36 | 2.64 |
| Andhra Pradesh | 783132 | 3986 | 0.51 | 740229 | 94.52 | 36474 | 6429 | 23 | 0.36 | 0.82 |
| Karnataka | 765586 | 7012 | 0.92 | 645825 | 84.36 | 109264 | 10478 | 51 | 0.49 | 1.37 |
| Tamil Nadu | 687400 | 3914 | 0.57 | 637637 | 92.76 | 39121 | 10642 | 56 | 0.53 | 1.55 |
| Uttar Pradesh | 455146 | 2486 | 0.55 | 415592 | 91.31 | 32896 | 6658 | 29 | 0.44 | 1.46 |
| Kerala | 341860 | 7631 | 2.28 | 245399 | 71.78 | 95203 | 1162 | 22 | 1.93 | 0.34 |
| Delhi | 331017 | 3299 | 1.01 | 301716 | 91.15 | 23292 | 6009 | 28 | 0.47 | 1.82 |
| West Bengal | 321036 | 3983 | 1.26 | 281053 | 87.55 | 33927 | 6056 | 64 | 1.07 | 1.89 |
| Odisha | 268364 | 2019 | 0.76 | 246837 | 91.98 | 20339 | 1188 | 14 | 1.19 | 0.44 |
| Telangana | 222111 | 1436 | 0.65 | 198790 | 89.50 | 22050 | 1271 | 6 | 0.47 | 0.57 |
| Bihar | 204212 | 1152 | 0.57 | 192594 | 94.31 | 10621 | 996 | 6 | 0.61 | 0.49 |
| Assam | 200709 | 318 | 0.16 | 171680 | 85.54 | 28158 | 868 | 3 | 0.35 | 0.43 |
| Rajasthan | 173266 | 1985 | 1.16 | 150379 | 86.79 | 21140 | 1747 | 12 | 0.69 | 1.01 |
| Chhattisgarh | 160396 | 1894 | 1.19 | 132168 | 82.40 | 26750 | 1478 | 39 | 2.71 | 0.92 |
| Madhya Pradesh | 160188 | 1030 | 0.65 | 144134 | 89.98 | 13281 | 2773 | 20 | 0.73 | 1.73 |
| Gujarat | 159726 | 1091 | 0.69 | 141752 | 88.75 | 14336 | 3638 | 9 | 0.25 | 2.28 |
| Haryana | 150033 | 952 | 0.64 | 138351 | 92.21 | 10042 | 1640 | 0 | 0.00 | 1.09 |
| Punjab | 127630 | 476 | 0.37 | 117883 | 92.36 | 5735 | 4012 | 13 | 0.33 | 3.14 |
| Jharkhand | 96352 | 385 | 0.40 | 89011 | 92.38 | 6502 | 839 | 7 | 0.84 | 0.87 |
| Jammu and Kashmir | 87942 | 578 | 0.66 | 77886 | 88.57 | 8677 | 1379 | 7 | 0.51 | 1.57 |
| Uttarakhand | 58024 | 376 | 0.65 | 50982 | 87.86 | 5728 | 927 | 3 | 0.32 | 1.60 |
| Goa | 40587 | 187 | 0.46 | 36395 | 89.67 | 3648 | 544 | 6 | 1.12 | 1.34 |
| Puducherry | 33141 | 163 | 0.49 | 28290 | 85.36 | 4277 | 574 | 0 | 0.00 | 1.73 |
| Tripura | 29465 | 141 | 0.48 | 26199 | 88.92 | 2917 | 326 | 3 | 0.93 | 1.11 |
| Himachal Pradesh | 18967 | 170 | 0.90 | 16037 | 84.55 | 2630 | 263 | 3 | 1.15 | 1.39 |
| Manipur | 15463 | 322 | 2.13 | 11741 | 75.93 | 3606 | 116 | 5 | 4.50 | 0.75 |
| Chandigarh | 13646 | 64 | 0.47 | 12554 | 92.00 | 884 | 208 | 1 | 0.48 | 1.52 |
| Arunachal Pradesh | 13406 | 58 | 0.43 | 10552 | 78.71 | 2824 | 30 | 0 | 0.00 | 0.22 |
| Meghalaya | 8508 | 104 | 1.24 | 6282 | 73.84 | 2151 | 75 | 0 | 0.00 | 0.88 |
| Nagaland | 7816 | 118 | 1.53 | 6142 | 78.58 | 1582 | 21 | 0 | 0.00 | 0.27 |
| Ladakh | 5598 | 64 | 1.16 | 4615 | 82.44 | 917 | 66 | 1 | 1.54 | 1.18 |
| Andaman and Nicobar Islands | 4108 | 25 | 0.61 | 3868 | 94.16 | 184 | 56 | 0 | 0.00 | 1.36 |
| Sikkim | 3597 | 30 | 0.84 | 3184 | 88.52 | 272 | 60 | 1 | 1.69 | 1.67 |
| Dadra and Nagar Haveli and Daman and Diu | 3181 | 3 | 0.09 | 3102 | 97.52 | 52 | 2 | 0 | 0.00 | 0.06 |
| Mizoram | 2253 | 8 | 0.36 | 2148 | 95.34 | 105 | 0 | 0 | NaN | 0.00 |
| Lakshadweep | 0 | 0 | NaN | 0 | NaN | 0 | 0 | 0 | NaN | NaN |
| State Unassigned | 0 | 0 | NaN | 0 | NaN | 0 | 0 | 0 | NaN | NaN |
Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)
| Region | Swabs | Confirmations | NewConfirmations | CasesPercentIncrease | ConfirmationRate | HospitalizedWithSymptoms | IntensiveCare | ActiveCases | Deceased | FatalityRate |
|---|---|---|---|---|---|---|---|---|---|---|
| Lombardia | 2471303 | 123794 | 2664 | 2.20 | 5.01 | 943 | 96 | 21625 | 17057 | 13.78 |
| Piemonte | 849485 | 42867 | 972 | 2.32 | 5.05 | 701 | 51 | 8880 | 4196 | 9.79 |
| Emilia-Romagna | 1366109 | 40333 | 641 | 1.61 | 2.95 | 427 | 65 | 8649 | 4509 | 11.18 |
| Veneto | 2135650 | 35051 | 774 | 2.26 | 1.64 | 328 | 43 | 8740 | 2247 | 6.41 |
| Campania | 751931 | 24443 | 1410 | 6.12 | 3.25 | 817 | 75 | 15690 | 499 | 2.04 |
| Lazio | 1123324 | 23790 | 994 | 4.36 | 2.12 | 1043 | 98 | 13237 | 1018 | 4.28 |
| Toscana | 903865 | 21896 | 879 | 4.18 | 2.42 | 344 | 50 | 9247 | 1189 | 5.43 |
| Liguria | 373115 | 17745 | 464 | 2.69 | 4.76 | 364 | 38 | 3558 | 1633 | 9.20 |
| Sicilia | 589079 | 11744 | 475 | 4.22 | 1.99 | 479 | 61 | 6281 | 362 | 3.08 |
| Puglia | 484125 | 11084 | 350 | 3.26 | 2.29 | 368 | 33 | 4980 | 632 | 5.70 |
| Marche | 280905 | 9254 | 121 | 1.32 | 3.29 | 77 | 10 | 1862 | 992 | 10.72 |
| P.A. Trento | 260404 | 6797 | 82 | 1.22 | 2.61 | 27 | 0 | 771 | 417 | 6.14 |
| Friuli Venezia Giulia | 474807 | 6260 | 167 | 2.74 | 1.32 | 49 | 13 | 1939 | 359 | 5.73 |
| Abruzzo | 241046 | 5973 | 148 | 2.54 | 2.48 | 169 | 13 | 2294 | 493 | 8.25 |
| Sardegna | 226794 | 5866 | 130 | 2.27 | 2.59 | 192 | 30 | 3188 | 172 | 2.93 |
| P.A. Bolzano | 201756 | 4648 | 155 | 3.45 | 2.30 | 66 | 6 | 1444 | 293 | 6.30 |
| Umbria | 249890 | 4415 | 205 | 4.87 | 1.77 | 99 | 16 | 2130 | 92 | 2.08 |
| Calabria | 236388 | 2683 | 94 | 3.63 | 1.13 | 58 | 5 | 994 | 104 | 3.88 |
| Valle d’Aosta | 33039 | 1738 | 78 | 4.70 | 5.26 | 17 | 2 | 458 | 146 | 8.40 |
| Basilicata | 87674 | 1226 | 57 | 4.88 | 1.40 | 40 | 0 | 638 | 38 | 3.10 |
| Molise | 53352 | 929 | 65 | 7.52 | 1.74 | 9 | 0 | 330 | 26 | 2.80 |
Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)
| Province | Confirmed | NewConfirmations | CasesPercentIncrease | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate | ConfirmedCasesPerMillPopl | DeathsPerMillPopl | InfectionOdds |
|---|---|---|---|---|---|---|---|---|---|---|
| Quebec | 91018 | 0 | 0.00 | 6018 | 0 | 0.00 | 6.61 | 10660.75 | 704.88 | 1 in 94 |
| Ontario | 65869 | 139 | 0.21 | 3090 | 1 | 0.03 | 4.69 | 4477.28 | 210.04 | 1 in 223 |
| Alberta | 21775 | 0 | 0.00 | 288 | 0 | 0.00 | 1.32 | 4934.12 | 65.26 | 1 in 203 |
| British Columbia | 11189 | 0 | 0.00 | 251 | 0 | 0.00 | 2.24 | 2189.24 | 49.11 | 1 in 457 |
| Manitoba | 3173 | 0 | 0.00 | 38 | 0 | 0.00 | 1.20 | 2303.42 | 27.59 | 1 in 434 |
| Saskatchewan | 2270 | 0 | 0.00 | 25 | 0 | 0.00 | 1.10 | 1921.02 | 21.16 | 1 in 521 |
| Nova Scotia | 1093 | 0 | 0.00 | 65 | 0 | 0.00 | 5.95 | 1118.21 | 66.50 | 1 in 894 |
| New Brunswick | 297 | 0 | 0.00 | 2 | 0 | 0.00 | 0.67 | 380.77 | 2.56 | 1 in 2626 |
| Newfoundland and Labrador | 287 | 0 | 0.00 | 4 | 0 | 0.00 | 1.39 | 550.48 | 7.67 | 1 in 1817 |
| Prince Edward Island | 63 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 398.34 | 0.00 | 1 in 2510 |
| Yukon | 15 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 365.16 | 0.00 | 1 in 2739 |
| Northwest Territories | 5 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 111.35 | 0.00 | 1 in 8981 |
Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)
| Province | Confirmed | Deaths | FatalityRate |
|---|---|---|---|
| Hubei | 68139 | 4512 | 6.62 |
| Hong Kong | 5237 | 105 | 2.00 |
| Guangdong | 1881 | 8 | 0.43 |
| Zhejiang | 1283 | 1 | 0.08 |
| Henan | 1281 | 22 | 1.72 |
| Shanghai | 1085 | 7 | 0.65 |
| Hunan | 1019 | 4 | 0.39 |
| Anhui | 991 | 6 | 0.61 |
| Heilongjiang | 948 | 13 | 1.37 |
| Beijing | 937 | 9 | 0.96 |
| Jiangxi | 935 | 1 | 0.11 |
| Xinjiang | 902 | 3 | 0.33 |
| Shandong | 845 | 7 | 0.83 |
| Sichuan | 725 | 3 | 0.41 |
| Jiangsu | 669 | 0 | 0.00 |
| Chongqing | 586 | 6 | 1.02 |
| Shaanxi | 436 | 3 | 0.69 |
| Fujian | 417 | 1 | 0.24 |
| Hebei | 368 | 6 | 1.63 |
| Liaoning | 280 | 2 | 0.71 |
| Inner Mongolia | 275 | 1 | 0.36 |
| Guangxi | 260 | 2 | 0.77 |
| Tianjin | 252 | 3 | 1.19 |
| Yunnan | 211 | 2 | 0.95 |
| Shanxi | 208 | 0 | 0.00 |
| Hainan | 171 | 6 | 3.51 |
| Gansu | 170 | 2 | 1.18 |
| Jilin | 157 | 2 | 1.27 |
| Guizhou | 147 | 2 | 1.36 |
| Ningxia | 75 | 0 | 0.00 |
| Macau | 46 | 0 | 0.00 |
| Qinghai | 18 | 0 | 0.00 |
| Tibet | 1 | 0 | 0.00 |
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.
This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.
Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.
Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.
Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.
5 Day Lagging Avg Doubling Time of Confirmations
This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.
For the top 20 countries with most confirmed cases excluding cruise ships
| Country_Region | ConfirmedCasesPerMillionPopl | DeathsPerMillionPopl | InfectionOdds |
|---|---|---|---|
| US | 24775.01 | 670.19 | 1 in 40 |
| India | 5597.13 | 85.16 | 1 in 179 |
| Brazil | 24961.12 | 734.23 | 1 in 40 |
| Russia | 9522.63 | 165.10 | 1 in 105 |
| Argentina | 22116.99 | 589.72 | 1 in 45 |
| Colombia | 19408.42 | 586.98 | 1 in 52 |
| Spain | 20072.01 | 723.85 | 1 in 50 |
| France | 13081.68 | 497.46 | 1 in 76 |
| Peru | 26808.11 | 1045.94 | 1 in 37 |
| Mexico | 6556.56 | 666.09 | 1 in 153 |
| United Kingdom | 10660.72 | 657.27 | 1 in 94 |
| South Africa | 12378.90 | 324.54 | 1 in 81 |
| Iran | 6487.06 | 371.16 | 1 in 154 |
| Chile | 27146.98 | 752.80 | 1 in 37 |
| Iraq | 11066.74 | 266.48 | 1 in 90 |
| Italy | 6655.69 | 603.08 | 1 in 150 |
| Bangladesh | NA | NA | 1 in NA |
| Germany | 4404.69 | 118.19 | 1 in 227 |
| Indonesia | 1355.16 | 47.09 | 1 in 738 |
| Philippines | 3377.86 | 62.95 | 1 in 296 |
This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
All NYC boroughs are mentioned together as New York County
| County | State | Confirmations | Deaths | FatalityRate |
|---|---|---|---|---|
| Los Angeles | California | 288451 | 6876 | 2.38 |
| Miami-Dade | Florida | 178354 | 3540 | 1.98 |
| Cook | Illinois | 163912 | 5357 | 3.27 |
| Harris | Texas | 154367 | 2728 | 1.77 |
| Maricopa | Arizona | 149720 | 3510 | 2.34 |
| Dallas | Texas | 89987 | 1194 | 1.33 |
| Broward | Florida | 81107 | 1510 | 1.86 |
| Queens | New York | 75109 | 7286 | 9.70 |
| Clark | Nevada | 74950 | 1469 | 1.96 |
| Kings | New York | 73123 | 7370 | 10.08 |
| Bexar | Texas | 63328 | 1381 | 2.18 |
| Riverside | California | 63284 | 1269 | 2.01 |
| San Bernardino | California | 59696 | 1021 | 1.71 |
| Tarrant | Texas | 59274 | 783 | 1.32 |
| Orange | California | 56868 | 1409 | 2.48 |
| Bronx | New York | 54409 | 4978 | 9.15 |
| San Diego | California | 52355 | 853 | 1.63 |
| Palm Beach | Florida | 49011 | 1490 | 3.04 |
| Nassau | New York | 48596 | 2204 | 4.54 |
| Suffolk | New York | 48029 | 2016 | 4.20 |
| Hillsborough | Florida | 45455 | 750 | 1.65 |
| Orange | Florida | 43453 | 530 | 1.22 |
| Salt Lake | Utah | 40713 | 288 | 0.71 |
| Philadelphia | Pennsylvania | 40179 | 1840 | 4.58 |
| Westchester | New York | 39476 | 1460 | 3.70 |
| Wayne | Michigan | 38146 | 3022 | 7.92 |
| New York | New York | 34991 | 3190 | 9.12 |
| Milwaukee | Wisconsin | 34400 | 554 | 1.61 |
| Hidalgo | Texas | 34179 | 1895 | 5.54 |
| Shelby | Tennessee | 33996 | 551 | 1.62 |
| Kern | California | 33373 | 410 | 1.23 |
| Duval | Florida | 32887 | 508 | 1.54 |
| El Paso | Texas | 32758 | 575 | 1.76 |
| Hennepin | Minnesota | 32050 | 965 | 3.01 |
| Mecklenburg | North Carolina | 31688 | 374 | 1.18 |
| Prince George’s | Maryland | 31442 | 845 | 2.69 |
| Travis | Texas | 30956 | 445 | 1.44 |
| Franklin | Ohio | 30590 | 635 | 2.08 |
| Middlesex | Massachusetts | 29986 | 2223 | 7.41 |
| Fresno | California | 29911 | 429 | 1.43 |
| Fulton | Georgia | 29819 | 606 | 2.03 |
| Gwinnett | Georgia | 29689 | 433 | 1.46 |
| Davidson | Tennessee | 29425 | 325 | 1.10 |
| St. Louis | Missouri | 27900 | 857 | 3.07 |
| Pima | Arizona | 26911 | 634 | 2.36 |
| Suffolk | Massachusetts | 26383 | 1156 | 4.38 |
| Utah | Utah | 25204 | 72 | 0.29 |
| King | Washington | 25093 | 793 | 3.16 |
| Marion | Indiana | 24410 | 780 | 3.20 |
| Montgomery | Maryland | 24395 | 860 | 3.53 |
| Sacramento | California | 24304 | 468 | 1.93 |
| Pinellas | Florida | 24099 | 800 | 3.32 |
| Bergen | New Jersey | 23738 | 2050 | 8.64 |
| Cameron | Texas | 23709 | 1063 | 4.48 |
| Santa Clara | California | 23224 | 373 | 1.61 |
| Oakland | Michigan | 22931 | 1226 | 5.35 |
| Alameda | California | 22636 | 442 | 1.95 |
| Fairfax | Virginia | 22616 | 602 | 2.66 |
| Essex | New Jersey | 22479 | 2134 | 9.49 |
| Jefferson | Alabama | 22300 | 372 | 1.67 |
| Essex | Massachusetts | 22035 | 1326 | 6.02 |
| Lee | Florida | 21962 | 492 | 2.24 |
| Oklahoma | Oklahoma | 21854 | 216 | 0.99 |
| Polk | Florida | 21780 | 586 | 2.69 |
| Hudson | New Jersey | 21731 | 1523 | 7.01 |
| Fairfield | Connecticut | 21368 | 1427 | 6.68 |
| San Joaquin | California | 21187 | 484 | 2.28 |
| Cobb | Georgia | 21158 | 447 | 2.11 |
| Nueces | Texas | 20993 | 436 | 2.08 |
| Middlesex | New Jersey | 20930 | 1437 | 6.87 |
| DuPage | Illinois | 20724 | 596 | 2.88 |
| Providence | Rhode Island | 20439 | 909 | 4.45 |
| Tulsa | Oklahoma | 20322 | 185 | 0.91 |
| DeKalb | Georgia | 20275 | 390 | 1.92 |
| Douglas | Nebraska | 20025 | 214 | 1.07 |
| Passaic | New Jersey | 19976 | 1259 | 6.30 |
| Wake | North Carolina | 19801 | 261 | 1.32 |
| Baltimore | Maryland | 19565 | 653 | 3.34 |
| Lake | Illinois | 19438 | 503 | 2.59 |
| Jefferson | Kentucky | 19360 | 328 | 1.69 |
| Cuyahoga | Ohio | 19212 | 671 | 3.49 |
| Union | New Jersey | 18709 | 1363 | 7.29 |
| Jefferson | Louisiana | 18344 | 580 | 3.16 |
| Contra Costa | California | 18054 | 234 | 1.30 |
| Polk | Iowa | 17906 | 281 | 1.57 |
| Stanislaus | California | 17292 | 391 | 2.26 |
| Rockland | New York | 17171 | 680 | 3.96 |
| Fort Bend | Texas | 17126 | 303 | 1.77 |
| Tulare | California | 17120 | 275 | 1.61 |
| Collin | Texas | 16937 | 171 | 1.01 |
| Macomb | Michigan | 16870 | 1061 | 6.29 |
| Baltimore City | Maryland | 16842 | 496 | 2.95 |
| Will | Illinois | 16748 | 418 | 2.50 |
| Richmond | New York | 16720 | 1091 | 6.53 |
| Charleston | South Carolina | 16628 | 271 | 1.63 |
| Richland | South Carolina | 16626 | 262 | 1.58 |
| Greenville | South Carolina | 16384 | 331 | 2.02 |
| District of Columbia | District of Columbia | 16370 | 641 | 3.92 |
| Hartford | Connecticut | 16273 | 1445 | 8.88 |
| Ocean | New Jersey | 15952 | 1054 | 6.61 |
Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.
County level COVID-19 Confirmations Map
This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc